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Record W2952465798 · doi:10.1093/jtm/taz046

The rise in travel-associated measles infections—GeoSentinel, 2015–2019

2019· article· en· W2952465798 on OpenAlexafffund
Kristina M Angelo, Michael Libman, Philippe Gautret, Elizabeth D. Barnett, Martin P. Grobusch, Stefan Hagmann, Federico Gobbi, Eli Schwartz, Perry J.J. van Genderen, Hilmir Ásgeirsson, Davidson H. Hamer, Carsten Schade Larsen, Christian Wejse, Watcharapong Piyaphanee, Udomsak Silachamroon, Susan Kuhn, Cecilia Perret, Thomas Weitzel, Marc Mendelson, Salim Parker, Nancy Piper-Jenks, C Kerr, Tamar Lachish, Prativa Pandey, Holly Murphy, Marta Díaz‐Menéndez, Elena Trigo Esteban, Karin Leder, Joe Torresi, Kunjana Mavunda, Camilla Rothe, Frank von Sonnenburg, Émilie Javelle, Brian J. Ward, Mogens Jensenius, Éric Caumes, Poh Lian Lim, Hedvig Glans, Yukihiro Yoshimura, Natsuo Tachikawa

Bibliographic record

VenueJournal of Travel Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsMcGill University
FundersNational Institutes of HealthPublic Health Agency of CanadaCenters for Disease Control and PreventionInternational Society of Travel MedicineU.S. Department of Health and Human Services
KeywordsMedicineMeaslesOutbreakVaccinationPediatricsMeasles vaccineEnvironmental healthVirologyDemography

Abstract

fetched live from OpenAlex

The global threat of measles in recent years affects international travelers, and is acquired in both endemic and outbreak settings. The number of measles cases reported to GeoSentinel has risen each year since 2015 and demonstrates a high median age, short travel duration, and low measles vaccination coverage.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.324
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2019
Admission routes2
Has abstractyes

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